Wasteless utilizes a Deep Machine Learning pricing engine to optimize markdown strategies and minimize food waste by dynamically adjusting prices based on real-time demand and customer behavior. This technology can reduce food waste by 50% and increase revenues by 20%, while ensuring products are sold before expiration.
Funding
Funding not disclosed
- Startup funding source · Source unavailable
Founders
Product
Problem
Supermarkets often rely on manual or outdated markdown strategies, leading to significant food waste and lost revenue on perishable items. Inefficient pricing fails to account for real-time demand, customer behavior, and product expiration dates, resulting in suboptimal sales and environmental impact.
Solution
Wasteless offers an AI-powered pricing engine that dynamically adjusts prices for perishable goods to minimize waste and maximize profit margins. The system analyzes data points from the retailer's store and partner retailers to predict the optimal price at any given moment. By integrating with existing POS and electronic shelf label (ESL) systems, Wasteless automates the markdown process, ensuring products are sold at the ideal price before expiration. This approach enables retailers to reduce food waste, increase revenue, and improve overall freshness on shelves.
Target Audience
The primary target audience includes supermarkets, grocery stores, and other retailers selling perishable goods who are looking to reduce food waste and increase profitability.
Features
- AI-driven pricing engine that learns and adapts to customer buying habits
- Integration with existing POS, ESL, digital scale, food delivery, and ERP systems
- Real-time markdown adjustments based on demand, expiration dates, and other factors
- Tools for rotation calendar management, date checks, grind logs, and waste tracking
- Analytics platform providing insights into product performance and markdown effectiveness
- Compatibility with electronic shelf labels for dynamic price display